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Stellenanzeige teilen Join an interdisciplinary research team investigating the molecular mechanisms of human brain development using cutting-edge genomics and computational biology approaches. Embedded within
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biological systems, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and
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one of the following areas: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods
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to the modernization and transformation of some of the nation's most important research and national security sites, while returning land to the community to enable new economic development. Fellows will join the
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laboratories, utilizing real-world utility data and models to address practical and impactful challenges in modern power systems. The selected candidate will contribute to the development of innovative solutions
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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and deep learning methods for large-scale genomic, clinical, and imaging biobank data, with stable multi-year NIH support. The Zhi Laboratory has a sustained track record of methods development
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. The role You will contribute to the design and implementation of the ABLE platform, including software development, possibly some hardware prototyping, and evaluation with users. A key focus will be